Genetic diversity analysis in rice genotypes suitable for aerobic cultivation

A total of 48 rice genotypes were evaluated for 23 morpho-physiological and quality traits at Rice Research Station, Kaul, CCSHAU, Hisar, to assess genetic diversity using Mahalanobis D² statistics and principal component analysis (PCA). Cluster analysis grouped the genotypes into six clusters, with Cluster II being the largest (17 genotypes) and Cluster III the smallest with one genotype. The highest inter-cluster distance was observed between Clusters I and VI, while the lowest was between Clusters I and V. Desirable mean values for traits like grain yield, 1000-grain weight, harvest index, panicle length and number of grains per panicle and root characteristics were observed in Clusters I and VI, suggesting their potential for genetic improvement under aerobic conditions. PCA revealed that the first seven principal components explained 78.20 % of the total variability, with PC1 contributing the most (23.10 %). Genotypes HKR16-1-IR14L521, CRR 4118-1-1-2-2-1, RCPR 79-IR 84899-B-185-8-1-1-1, CSR-88, CSR YET-78, CSR-87 and BRR 0180-IR 14L 157 exhibited significant diversity and could be utilized in crossing programs for generating genetic variability.

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Publication Details

Journal
Electronic Journal of Plant Breeding
Published
2026-10-06
DOI
https://doi.org/10.37992/2026.1703.031
Primary Topic
Genetics and Plant Breeding
Type
article
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Genetic diversity analysis in rice genotypes suitable for aerobic cultivation

I. Das, Priyanka Dalal, Koppula Satya Sai Kumar, Sudhir Sharma et al.
Electronic Journal of Plant Breeding
Genetics and Plant Breeding
article

Genetic diversity analysis in rice genotypes suitable for aerobic cultivation

I. Das, Priyanka Dalal, Koppula Satya Sai Kumar, Sudhir Sharma, Meenakshi, Vishal Saini, Rakesh Kumar
article en

Abstract

A total of 48 rice genotypes were evaluated for 23 morpho-physiological and quality traits at Rice Research Station, Kaul, CCSHAU, Hisar, to assess genetic diversity using Mahalanobis D² statistics and principal component analysis (PCA). Cluster analysis grouped the genotypes into six clusters, with Cluster II being the largest (17 genotypes) and Cluster III the smallest with one genotype. The highest inter-cluster distance was observed between Clusters I and VI, while the lowest was between Clusters I and V. Desirable mean values for traits like grain yield, 1000-grain weight, harvest index, panicle length and number of grains per panicle and root characteristics were observed in Clusters I and VI, suggesting their potential for genetic improvement under aerobic conditions. PCA revealed that the first seven principal components explained 78.20 % of the total variability, with PC1 contributing the most (23.10 %). Genotypes HKR16-1-IR14L521, CRR 4118-1-1-2-2-1, RCPR 79-IR 84899-B-185-8-1-1-1, CSR-88, CSR YET-78, CSR-87 and BRR 0180-IR 14L 157 exhibited significant diversity and could be utilized in crossing programs for generating genetic variability.

Electronic Journal of Plant BreedingVol. 17(3)
Zero hunger
Openalex Percentile: Top 18%
Genetics and Plant Breeding
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Genetic diversity analysis in rice genotypes suitable for aerobic cultivation — I. Das, Priyanka Dalal, et al. · Electronic Journal of Plant Breeding (2026) | TGRS Research Map | TGRS